Thomas <[email protected]> added the comment:
Just to rephrase, because the explanation in my last message can be ambiguous:
At dataclass construction time (when the @dataclass decorator inspects and
enhances the class):
for field in fields:
if descriptor := getattr(field, 'descriptor'):
setattr(cls, field.name, descriptor)
elif default := getattr(field, 'default'):
setattr(cls, field.name, default)
Then at __init__ time:
for field in fields:
if (
(descriptor := getattr(field, 'descriptor'))
and (default := getattr(field, 'default'))
):
setattr(self, field.name, default)
elif default_factory := getattr(field, 'default_factory'):
setattr(self, field.name, default_factory())
Now, this is just pseudo-code to illustrate the point, I know the dataclass
implementation generates the __init__ on the fly by building its code as a
string then exec'ing it. This logic would have to be applied to that generative
code.
I keep thinking I'm not seeing some obvious problem here, so if something jumps
out let me know.
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Python tracker <[email protected]>
<https://bugs.python.org/issue39247>
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